mcp-divoom-lan
Enables AI clients to control Divoom LAN devices, including watchface management, brightness adjustment, and screen control through natural language.
README
mcp-divoom-lan
mcp-divoom-lan is an open-source MCP server that wraps Divoom watchface LAN APIs as standard tools for AI clients.
It works together with the v2 HTML visual editor for modifying watchfaces, switching faces, adjusting brightness, and creating new local watchfaces.
v2 visual editor (public):
- GitHub:
https://github.com/DivoomDevelop/divoom-watchface-visual-editor_v2 - Live site:
https://divoomdevelop.github.io/divoom-watchface-visual-editor_v2/
Your local clone path (e.g. D:\divoom-watchface-visual-editor) is machine-specific; use the v2 GitHub / GitHub Pages URLs above in docs and MCP metadata.
Goals
- Expose key capabilities from
Divoom_Watchface_Remote_Customization_Guide_EN.mdas MCP tools - Let MCP-enabled clients (Cursor, Claude Desktop, local LLMs, etc.) drive watchface actions via natural language
- Preserve safety boundaries (read before write, explicit warnings for risky operations, multipart rules)
Default safety policy (important)
- Read before write: call
watchface_get_local, thenwatchface_patch_local, then read back to verify. - If
GetLocalClockInforeturns an emptyItemList: stop writes; switch to an editable watchface first. - Do not call
watchface_create_local_clockunless the user clearly asks to create a new one (no implicit creation).
Implemented tools
watchface_get_local→Device/GetLocalClockInfowatchface_patch_local→Device/PatchLocalClockInfo(default/divoom_api); optionaldialAssetsPathswitches to multipartPOST /patch_local_clock(same dial/tar.gz rules aswatchface_create_local_clock)watchface_get_fonts_local→Device/GetLocalFontListwatchface_get_store_market_list→Device/GetStoreClockMarketListwatchface_set_clock_select→Channel/SetClockSelectIdwatchface_get_brightness→Sys/GetBrightnesswatchface_set_brightness→Channel/SetBrightnesswatchface_onoff_screen→Channel/OnOffScreen(1=on, 0=off)watchface_replace_dial_bg_file→POST /replace_clock_dial_bgwatchface_upload_file→POST /uploadwatchface_create_local_clock→POST /create_local_clock(multipart: single dial image ortar.gz; JSONDialAssets/UseDialAssetBundleselects mode, default auto-detect gzip)watchface_reset_local_then_cloud→Device/ResetLocalClockFromServerwatchface_raw_command→ genericPOST /divoom_apiwatchface_protocol_quick_reference→ key protocol constraints for the model
Resources (context for the model)
The server exposes two MCP resources:
divoom://guide/quick-referencedivoom://skill/watchface-customization
MCP Bundle (.mcpb)
For MCPB-compatible hosts (e.g. Claude desktop connectors, Smithery stdio releases), build a local bundle:
- Install the packer:
npm install -g @anthropic-ai/mcpb - From this package root:
npm run mcpb:pack - Output:
mcp-divoom-lan.mcpb(gitignored). The staging directorymcpb/staging/is also gitignored.
The bundle includes dist/, resources/, production node_modules, and a manifest.json with user fields for device IP, port, and timeout.
Quick start
cd tools/mcp-divoom-lan # or your clone root for this package
npm install
npm run build
npm start
Development (watch rebuild):
npm run dev
Pre-release check (typecheck, build, pack dry-run):
npm run release:check
Documentation
docs/README.md— documentation indexdocs/quick-start.md— minimal setupdocs/tool-examples.md— tool usage examples (includes §5b analog pointer layout)docs/disp-usage.md— choosingdispids (pointer layout131/132/233; net-gallery uniqueness13/125–130/173–175)docs/html-visual-editor.md— using the visual editor with MCPdocs/safety-and-troubleshooting.md— safety and FAQsdocs/reference/— condensed protocol rules (EN/ZH)docs/examples/— sample requests/responses and catalog
Environment variables
DIVOOM_DEVICE_HOST— device LAN IP (e.g.192.168.1.120)DIVOOM_DEVICE_PORT— HTTP port, default9000DIVOOM_TIMEOUT_MS— request timeout ms, default45000
If DIVOOM_DEVICE_HOST is unset, each tool call must pass target.host.
Example client config (stdio)
Cursor / Claude Desktop
{
"mcpServers": {
"divoom-lan": {
"command": "node",
"args": [
"/ABSOLUTE/PATH/to/tools/mcp-divoom-lan/dist/index.js"
],
"env": {
"DIVOOM_DEVICE_HOST": "192.168.1.120",
"DIVOOM_DEVICE_PORT": "9000",
"DIVOOM_TIMEOUT_MS": "45000"
}
}
}
}
You can also copy client-config.example.json in this directory as a starting point.
Publishing checklist (for maintainers)
- Use a dedicated repo (e.g.
mcp-divoom-lan) with this package at the repo root. - Verify metadata:
LICENSE,SECURITY.md,CONTRIBUTING.md,CHANGELOG.md,RELEASE.mdas applicable. - Run
npm run release:check. - Tag a GitHub release (e.g.
v0.1.2) with screenshots and sample requests if helpful. - Submit listings where appropriate (MCP Registry, Smithery, Glama, MCP.so, community indexes). For Glama, follow
GLAMA_SUBMISSION_READY.md(includesDockerfileandglama.json). For MCP.so, followMCP_SO_SUBMISSION_READY.md. For 火山引擎 MCP 清单,见VOLCENGINE_SUBMISSION_READY.md(PR: https://github.com/volcengine/mcp-server/pull/398)。For 阿里云百炼自定义 MCP(控制台 npx 部署),见BAILIAN_MCP_SUBMISSION_READY.md。For 扣子 Coze 插件发布/商店(HTTP 插件,与 MCP 不同),见COZE_SUBMISSION_READY.md。 - Minimal demo flow:
watchface_get_local→watchface_patch_local(font size/color) →watchface_replace_dial_bg_file(background).
Files often used at release
Included in this repo (when present): LICENSE, CHANGELOG.md, CONTRIBUTING.md, SECURITY.md, RELEASE.md, optional checklist and directory templates, and .github/workflows/ci.yml.
Should the HTML visual editor ship inside this npm package?
Recommendation: no for the core MCP package — keep MCP lean. Offer the editor as a separate optional project.
- Core:
https://github.com/DivoomDevelop/mcp-divoom-lan - Visual editor v2:
https://github.com/DivoomDevelop/divoom-watchface-visual-editor_v2 - Hosted v2:
https://divoomdevelop.github.io/divoom-watchface-visual-editor_v2/
Benefits:
- Small MCP install suitable for all AI clients
- Non-developers can use the visual UI to understand
ItemList, then let the AI apply patches - Clear split between WYSIWYG editing and automated MCP writes
Alignment with upstream docs
This repo ships standalone docs under docs/, docs/reference/, and docs/examples/. If you maintain full guides elsewhere, keep this tree synced or treat it as the distribution subset.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.